Open FrankEscobar opened 3 years ago
KernelDepth: the depth at which sampling density is estimated in order to assign a weight to each sample SolveDepth: the depth up to which the solver will solve the numerical system. It will still show the results at the finest resolution, but no additional high-frequency data will be introduced at the finest resolutions. (It could also be the case that aliasing that occurs at the coarser resolutions will not get corrected.) EnvelopeDepth: When using Dirichlet envelope constraints, what depth should the envelope surface be rasterized into? Iters: the number of Gauss-Seidel relaxations to be performed at every level of the hierarchy. FullDepth: The depth up to which the octree is completely refined (i.e. a regular grid). BaseDepth: The coarsest depth at which the system will be solved over an octree. (At coarser levels it will be solved using a standard MG solver, with multiple V-Cycles, defined over a regular grid.) As such, the assumption is that BaseDepth<=FullDepth. BaseVCycles: The number of V-cycles to be used to estimate the solution over the regular, coarser, grid.
Thank you!!!
There are several depth values that you can tweak like:
but in your samples you are only using the basic depth parameter, as far as I know it means de maximum subdivision level, but what the other parameters means?
Thank you in advance!